A traveling process is a time series of a car's speed that represents the way it moves on actual roads. Driving cycles are used in the virtual arrangement of motor systems and embed control methodologies, traffic management, and intelligent road structures, in local certification and assessment of correlation (traffic designing). To reduce energy consumption of an electric car and increase its range, this study set out to create a flexible running cycle for a predetermined route. It was created as a revolutionary distance-based reactive driving cycle method. The division and repeated combination procedures of Markov chains are utilized in the proposed strategy. Gaussian interaction regression is used to constantly monitor energy usage while driving, and speed and acceleration are adaptively managed to maintain optimal energy consumption.